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Article: Geography of suicide in Taiwan: Spatial patterning and socioeconomic correlates

TitleGeography of suicide in Taiwan: Spatial patterning and socioeconomic correlates
Authors
KeywordsBayesian hierarchical models
Ecological study
Mapping
Socioeconomic environment
Suicide
Suicide methods
Issue Date2011
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/healthplace
Citation
Health And Place, 2011, v. 17 n. 2, p. 641-650 How to Cite?
AbstractIn industrialised Western nations suicide rates tend to be high in inner city areas and socially fragmented neighbourhoods. Few studies have investigated spatial variations in suicide in non-Western settings. We estimated smoothed standardised mortality ratios (1999-2007) for suicide for each of the 358 Taiwanese districts (median population aged 15+: 27,000) and investigated their associations with area characteristics using Bayesian hierarchical models. The geographic distribution of suicide was similar in men and women; young people showed the greatest spatial variation in rates. Rates were highest in East Taiwan, a mostly mountainous rural area. There was no evidence of above average rates in large cities. Spatial patterns of method-specific suicide rates varied markedly, with solids/liquids poisonings showing the greatest geographic variation and hangings the least. Factors most strongly associated with area suicide rates were median household income, population density and lone-parent households. Spatial patterning of suicide in Taiwan differed from that observed in Western nations. Suicide prevention strategies should take into account unique local patterns. © 2011 Elsevier Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/145791
ISSN
2015 Impact Factor: 2.441
2015 SCImago Journal Rankings: 1.559
ISI Accession Number ID
Funding AgencyGrant Number
Taiwanese government (Ministry of Education)
Higher Education Funding Council for England
University of Bristol
National Science Council, TaiwanNSC-98-2917-I-564-162
Funding Information:

S-SC's Ph.D. study was supported by the Taiwanese government (the Government Funds of the Ministry of Education), the Higher Education Funding Council for England (Overseas Research Scholarship) and University of Bristol (University of Bristol Postgraduate Research Scholarship). S-SC's fellowship is funded by the National Science Council, Taiwan (NSC-98-2917-I-564-162).

References

 

DC FieldValueLanguage
dc.contributor.authorChang, SSen_HK
dc.contributor.authorSterne, JACen_HK
dc.contributor.authorWheeler, BWen_HK
dc.contributor.authorLu, THen_HK
dc.contributor.authorLin, JJen_HK
dc.contributor.authorGunnell, Den_HK
dc.date.accessioned2012-03-09T03:59:21Z-
dc.date.available2012-03-09T03:59:21Z-
dc.date.issued2011en_HK
dc.identifier.citationHealth And Place, 2011, v. 17 n. 2, p. 641-650en_HK
dc.identifier.issn1353-8292en_HK
dc.identifier.urihttp://hdl.handle.net/10722/145791-
dc.description.abstractIn industrialised Western nations suicide rates tend to be high in inner city areas and socially fragmented neighbourhoods. Few studies have investigated spatial variations in suicide in non-Western settings. We estimated smoothed standardised mortality ratios (1999-2007) for suicide for each of the 358 Taiwanese districts (median population aged 15+: 27,000) and investigated their associations with area characteristics using Bayesian hierarchical models. The geographic distribution of suicide was similar in men and women; young people showed the greatest spatial variation in rates. Rates were highest in East Taiwan, a mostly mountainous rural area. There was no evidence of above average rates in large cities. Spatial patterns of method-specific suicide rates varied markedly, with solids/liquids poisonings showing the greatest geographic variation and hangings the least. Factors most strongly associated with area suicide rates were median household income, population density and lone-parent households. Spatial patterning of suicide in Taiwan differed from that observed in Western nations. Suicide prevention strategies should take into account unique local patterns. © 2011 Elsevier Ltd.en_HK
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/healthplaceen_HK
dc.relation.ispartofHealth and Placeen_HK
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Health & Place. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in PUBLICATION, [VOL 17, ISSUE 2, 2011] DOI 10.1016/j.healthplace.2011.01.003-
dc.subjectBayesian hierarchical modelsen_HK
dc.subjectEcological studyen_HK
dc.subjectMappingen_HK
dc.subjectSocioeconomic environmenten_HK
dc.subjectSuicideen_HK
dc.subjectSuicide methodsen_HK
dc.subject.meshBayes Theorem-
dc.subject.meshCause of Death-
dc.subject.meshSocioeconomic Factors-
dc.subject.meshSuicide - statistics and numerical data-
dc.subject.meshTaiwan - epidemiology-
dc.titleGeography of suicide in Taiwan: Spatial patterning and socioeconomic correlatesen_HK
dc.typeArticleen_HK
dc.identifier.emailChang, SS: sschang@hku.hken_HK
dc.identifier.authorityChang, SS=rp01582en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.healthplace.2011.01.003en_HK
dc.identifier.pmid21292534-
dc.identifier.scopuseid_2-s2.0-79952488970en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79952488970&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume17en_HK
dc.identifier.issue2en_HK
dc.identifier.spage641en_HK
dc.identifier.epage650en_HK
dc.identifier.isiWOS:000289339000027-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridChang, SS=35232386600en_HK
dc.identifier.scopusauthoridSterne, JAC=7006014653en_HK
dc.identifier.scopusauthoridWheeler, BW=7102860699en_HK
dc.identifier.scopusauthoridLu, TH=7402684310en_HK
dc.identifier.scopusauthoridLin, JJ=27168543300en_HK
dc.identifier.scopusauthoridGunnell, D=7006194937en_HK
dc.identifier.citeulike8673678-

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